276 to 300 of 334 Natural Language Processing Jobs in London

PostgreSQL and S3. Build Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems. Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows … reliably in production, including state management, task execution, model routing, retries and observability. Support AI Infrastructure: Work closely with our AI engineers supporting production NLP, LLM and quantitative model workloads, including our in-house GPU infrastructure. Automate Infrastructure: Build and manage Infrastructure-as-Code using Pulumi and automate deployments through ...

agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability Delivered on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients … embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business needs ...

innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team … following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre‐existing code … Strongly Preferred Skills MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited ...

Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing … Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...

Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing … Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...

biological/scientific data (e.g. genomics, transcriptomics, proteomics) or pharmaceutical work is beneficial Knowledge of AI/ML deployment-especially language models, NLP or agent-based approaches-is a strong advantage Experience with Docker/containerised applications (including multi-container architecture) is desirable Mentoring/coaching and technical leadership ...

specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including … tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc) Experience training models for computer use or other multi ...

secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL … collaborate across teams, while staying grounded in product impact, user experience, and real-world performance. Nice to have Experience with machine translation, multilingual NLP, efficient long-context modeling, language quality estimation, or multimodal machine translation. Experience designing evaluation and reward signals using automatic metrics, Model-as-judge evaluation ...

reduce cycle times across the team.You will translate complex clinical and product objectives into efficient computational tasks, selecting the right tools - whether Deep Learning, NLP, or off-the-shelf - and making smart build-vs-buy trade-offs that align with Accurx's long-term technical goals.You will help turn … more efficient AI models are rolled out.You should apply if...You have extensive experience with a variety of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the ability to select the right tool, not just the trendiest one, for a clinical problem.You have a proven ...

that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact.The RoleThis is a senior role within a deliberately flat team structure. You will be expected to take ownership … often require novel solutions but are constrained by regulatory and compliance requirements.Experience building production systems for one or more of: document/data extraction, NLP-based classification, machine translation, fraud or anomaly detection, or workflow automation.Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation methodologies.Strong ...

that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact. The Role This is a senior role within a deliberately flat team structure. You will be expected … require novel solutions but are constrained by regulatory and compliance requirements. Experience building production systems for one or more of: document/data extraction, NLP-based classification, machine translation, fraud or anomaly detection, or workflow automation. Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation ...

suitable for enterprise use.Analytics, AI and Agentic Strategy Prioritisation• Prioritise data access, tooling and platform capabilities required to support advanced analytics, AI/ML, NLP, intelligent automation and agentic strategies for the group.• Identify opportunities to deploy production-grade analytics and AI-enabled solutions that improve decision-making, risk transparency … modelling, semantic layers, canonical data views, data catalogues, data quality, lineage, metadata, critical data elements and data governance frameworks.• Understanding of AI/ML, NLP, intelligent automation, agentic AI concepts or production-grade analytics, with the ability to distinguish credible business use cases from experimentation.• Proven ability to translate abstract ...

Lead Applied Scientist, Search - NLP/GenAIThis position is based in either Zug, Switzerland or London, UK. Want to use your experience of building search-led AI solutions to enhance our leading products in the tax, legal and professional services industries Document understanding is a foundational intelligence layer that powers … align document understanding capabilities with diverse business needs including next-generation search and deep legal researchMentor and coach team members with varied ML/NLP abilities, building technical capability across the organizationAbout YouYou're a fit for the role of Lead Applied Scientist if you have:PhD in Computer Science ...

product organizationsExperience in financial services with exposure to capital markets, corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsPreferred Qualifications, Capabilities, and SkillsExperience in financial services with exposure … capital markets, corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

Experience in financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience in financial services … with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

values trust, respect, collaboration, agility, and quality.About the RoleIn this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … customer needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation.ResponsibilitiesSet AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities.Lead and develop high-performing teams by coaching talent, setting ...

/ML solutions in real-world environments. Strong Python expertise with experience building production-grade AI solutions. Strong knowledge of Generative AI, LLMs, NLP, and Agentic AI. Experience with AWS, Azure, Google Cloud, and CI/CD practices. Excellent customer-facing, communication, analytical, and problem-solving skills. Main Responsibilities: Meet … Design and develop GenAI and AI/ML solutions, taking ideas from POC through development, scaling, and into live production. Build and deploy LLM, NLP, chatbot, and Agentic AI solutions using Python and modern AI/cloud technologies. Implement CI/CD pipelines and engineering best practices to ensure ...

stakeholders and sharing knowledge with team members as they are digging into technical questions. This role spans a number of disciplines within the ML, NLP, and AI disciplines and is not just another LLM-wrapper position. If your experience is solely around using LLMs within the AI space, this role … architectures to system design and evaluation, as well as an understanding of the current state of the art in generative systems. You will bridge NLP pipelines, LLM-based reasoning, and knowledge graph grounding to produce outputs that are accurate, explainable, and suitable for use in regulated healthcare environments. The role ...

data principles for structuring scientific contentWorking knowledge of AI capabilities related to content analysis, such as large language models (LLMs), semantic technologies, and NLP toolsExperience in extracting insights from large datasets, generating summaries, trends, and visualizationsStrong understanding of data governance, copyright, licensing, and responsible AI useExcellent collaboration, communication … advising on AI-driven content toolsKnowledge of data visualization, knowledge graphs, and ontology managementFamiliarity with Python, AI frameworks, and prompt engineering techniques for NLP applicationsExperience with scientific communication tools and knowledge mappingPreferred Education and Experience:Bachelor’s or Master’s degree in Information Science, Library Science, Data Science, Bioinformatics ...

Description Lead Applied Scientist, Search - NLP/GenAI This position is based in either Zug, Switzerland or London, UK. Want to use your experience of building search-led AI solutions to enhance our leading products in the tax, legal and professional services industries? Document understanding is a foundational intelligence layer … document understanding capabilities with diverse business needs including next-generation search and deep legal research Mentor and coach team members with varied ML/NLP abilities, building technical capability across the organization About You You're a fit for the role of Lead Applied Scientist if you have ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

first three engineers in a dedicated lab, working alongside the Tech Lead, Design Lead and Product Lead. What You’ll DoFine-tune large language models (LLMs) for style and tone alignment with The Economist’s editorial voiceDesign, curate, and manage datasets used for fine-tuning, including versioning and annotation … develop novel evaluation metrics that capture the nuances of The Economist's tone and styleSpecific Skills and Expertise3+ years experience building with LLMs or NLP pipelines (ideally hands-on with OpenAI, Claude, Cohere, Gemini, Mistral, HuggingFace)Experience with supervised fine-tuning (SFT), prompt tuning, or instruction tuning on proprietary datasetsStrong ...

Company DescriptionWe’reCheckout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where ...